Science & Engineering Research Support soCiety (SERSC)
In this paper, the authors present their work on information analysis for big data. Big data is generated every day in various fields such as complex physics simulations, genomics, meteorology, as well as biological and environmental research. Traditional data mining applications cannot handle big data well because the data sets are so large and complex. In this paper, they present their approach to analyzing the information that is hidden in the big data using various strategies.